A Comparison of National Specialty Societies in Canada: Does CAG Measure Up?
Bibliographic record
Abstract
The Federation of National Specialty Societies of Canada (FNSSC) is a formal organization established in 2003 that includes the majority of national medical and/or surgical specialty societies in Canada. Forty-two societies currently comprise the FNSSC, including the Canadian Association of Gastroenterology (CAG). One of the advantages of the FNSSC is that it provides a united voice on specialty concerns to the Canadian Medical Association and the Royal College of Physicians and Surgeons of Canada. Second, it affords a framework for sharing common problems and experiences among member societies, for example, regarding accreditation and funding. Third, its influence may prove useful in securing preferred contracts from suppliers, including hotel chains and insurance companies, for FNSSC associations. Information-sharing offers an interesting view to how various societies operate and the differences between them. As an example, Table 1 shows the categories and related annual fees for membership for 11 different FNSSC associations. The 11 associations represent organizations that participated in a recent FNSSC survey on annual conference fees (see below), and which illustrate the diversity of membership types and fees. Table 1 Membership categories and yearly fees for 11 Federation of National Specialty Societies of Canada
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.019 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".